Advanced Mathematics - Master's Year 1
Syllabus
UE Obligatoires
- Pré-rentrée mise à niveau : Analyse
- Pré-rentrée mise à niveau : statistique
- Discrete processes
- Control of Markov chains
- Monte-Carlo methods
- Functional analysis
- Optimization
- Anglais 1
UE Optionnelles
UE fondamentale
UE de majeure mathématiques approfondies S1
UE complémentaire - majeure mathématiques approfondies
UE optionnelle - majeure mathématiques approfondies
UE Obligatoires
- Brownian motion and evaluation of contingent claims
- Poisson process
- Calculus of variations
- Advanced continuous process
- Geometry and dynamics
- Anglais 2
- Mémoire de recherche
UE Optionnelles
- Statistique non paramétrique
- Numerical methods
- Machine learning
- Allemand 1&2
- Espagnol 1&2
- Gravitation of extended bodies and galaxies
- SAS, Excel, Matlab
UE fondamentale
UE de majeure mathématiques approfondies S2
UE complémentaire - majeure mathématiques approfondies S2
UE optionnelle - majeure mathématiques approfondies S2
Academic Training Year 2026 - 2027 - subject to modification
Teaching Modalities
Detailed assessment methods are communicated at the beginning of the year.
The program starts in September and attendance is required.
The program is divided into two semesters, S1 and S2. Each semester is made up of a foundational unit of instruction and supplementary courses, in a set distribution. Each of the two foundational units consists of a number of courses. Each course is worth a certain number of ECTS credits; each units corresponds to a specific number of ECTS credits obtained by passing the courses in the unit.
Internships and Supervised Projects
Internship not required.
Research Support
Research-driven Programs
Training courses are developed in close collaboration with Dauphine's world-class research programs, which ensure high standards and innovation.
Research is organized around 6 disciplines all centered on the sciences of organizations and decision making.
Learn more about research at Dauphine
